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#ifndef __OPENCV_PHOTO_CUDA_HPP__
#define __OPENCV_PHOTO_CUDA_HPP__

#include "opencv2/core/cuda.hpp"

namespace cv { namespace cuda {

//! Brute force non-local means algorith (slow but universal)
CV_EXPORTS void nonLocalMeans(const GpuMat& src, GpuMat& dst, float h, int search_window = 21, int block_size = 7, int borderMode = BORDER_DEFAULT, Stream& s = Stream::Null());

//! Fast (but approximate)version of non-local means algorith similar to CPU function (running sums technique)
class CV_EXPORTS FastNonLocalMeansDenoising
{
public:
    //! Simple method, recommended for grayscale images (though it supports multichannel images)
    void simpleMethod(const GpuMat& src, GpuMat& dst, float h, int search_window = 21, int block_size = 7, Stream& s = Stream::Null());

    //! Processes luminance and color components separatelly
    void labMethod(const GpuMat& src, GpuMat& dst, float h_luminance, float h_color, int search_window = 21, int block_size = 7, Stream& s = Stream::Null());

private:

    GpuMat buffer, extended_src_buffer;
    GpuMat lab, l, ab;
};

}} // namespace cv { namespace cuda {

#endif /* __OPENCV_PHOTO_CUDA_HPP__ */
